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| 3D Facial Expressional Motion Tracking Algorithm Based on Online Model Adaptation and Updating |
| YU Jun, WANG Zeng-Fu |
| Department of Automation, University of Science Technology of China, Hefei 230027 |
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Abstract A 3D facial expressional motion tracking algorithm based on online model adaptation and updating is proposed. It constructs the online model using an adaptive statistic observation model. With the combination of adaptive state transition model and improved particle filter, statistic search and determinate search are proposed simultaneously. Multi-measurements are infused to decrease lighting influence and person dependence. With the proposed algorithm, the global rigid motion parameters and local non rigid expressional parameters are obtained. Experiment result confirms the effectiveness of the proposed algorithm.
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Received: 22 March 2010
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2011, Vol. 24 
